Panda Paramjot, Dash Prashansa, Behera Manas, Mishra Trupti
AIPHU.
KIT Deemed to be University.
Res Sq. 2023 Mar 14:rs.3.rs-2664462. doi: 10.21203/rs.3.rs-2664462/v1.
Epidemiological transition in India shows a shift in disease burden from youth to the elderly. As Life Expectancy increases, a greater burden is placed on the state, society, and families in India. Mental health disorders are insidious, debilitating Non-Communicable Diseases (NCDs) that afflict people, their families, and generations down the line. Globally, depression is the leading cause of mental health-related disability. It is estimated that mental illness contributes to 4.7% of Disability Adjusted Life Years (DALYs) in India. It is predicted that by 2026, the elderly's sex ratio will increase to 1,060 feminizing ageing. Research has shown that elderly women in developed countries like the United States are more prone to depression. Chronic morbidities are more common in women than in men, and they may suffer from poor vision, depression, impaired physical performance, and elder abuse. Mostly widowed, economically dependent, lacking proper food and clothing, fearing the future, and lacking proper care, they have difficulty coping with these health problems. There are surprisingly few studies on elderly female depression. Therefore, we want to hypothesize the prevalence of depression among women in different regions and demographic groups in India, and what factors may contribute to these differences. Using intersectional analysis with the data from Wave 1 (2017-2018) of the (Longitudinal Ageing Study in India) LASI (N = 16,737) we were able to explore the intersecting patterns between different variables and how people are positioned simultaneously and position themselves in different multiple categories based on the type of place of residence, age and level of education. Through the study we further aim to determine the prevalence of depression among elderly female in the age group of 60 in different states using the Chloropleth map. The findings of the study highlight the significance of the place of residence in the development of depression among elderly women, with the rural area being associated with a higher prevalence of depression compared to urban area. When compared to people with higher literacy, those with low literacy were significantly associated with depression. State-wise, there is a huge difference between the prevalence of elderly women depression in rural and urban areas. The study highlights the vulnerability of elderly women to depression. It is possible for the government to develop programs that address the needs of elderly women, both in urban and rural areas, to reduce depression. Multi-factor approaches to mental health, which consider age, literacy, and location, are essential. Programs targeting specific populations can be developed to address depression's root causes..
印度的流行病学转变显示疾病负担从年轻人向老年人转移。随着预期寿命的增加,印度的国家、社会和家庭承受了更大的负担。精神健康障碍是侵袭人们、其家庭及子孙后代的隐匿性、使人衰弱的非传染性疾病。在全球范围内,抑郁症是与精神健康相关残疾的主要原因。据估计,精神疾病在印度的伤残调整生命年(DALYs)中占4.7%。据预测,到2026年,老年人的性别比将增至1060,使老龄化女性化。研究表明,在美国等发达国家,老年女性更容易患抑郁症。慢性病在女性中比在男性中更常见,她们可能视力不佳、患有抑郁症、身体机能受损且遭受虐待。她们大多丧偶、经济上依赖他人、缺乏适当的衣食、对未来感到恐惧且缺乏适当照料,难以应对这些健康问题。令人惊讶的是,关于老年女性抑郁症的研究很少。因此,我们想假设印度不同地区和人口群体中女性抑郁症的患病率,以及哪些因素可能导致这些差异。利用印度纵向老龄化研究(LASI)第一波(2017 - 2018年)的数据进行交叉分析(N = 16737),我们能够探索不同变量之间的交叉模式,以及人们如何根据居住地点类型、年龄和教育水平同时处于不同的多个类别并自我定位。通过这项研究,我们进一步旨在使用分级统计图确定60岁及以上老年女性在不同邦的抑郁症患病率。该研究结果突出了居住地点在老年女性抑郁症发病中的重要性,农村地区的抑郁症患病率高于城市地区。与识字率较高的人相比,识字率低的人与抑郁症显著相关。按邦划分,农村和城市地区老年女性抑郁症患病率存在巨大差异。该研究突出了老年女性易患抑郁症的情况。政府有可能制定满足城乡老年女性需求的项目,以减少抑郁症。考虑年龄、识字率和地点的多因素心理健康方法至关重要。可以制定针对特定人群的项目来解决抑郁症的根本原因。